machine learning engineer

Aristocrat advances gaming technology with modern, powerful solutions, aiming to bring happiness to life through play. The company focuses on collaboration, creativity, and excellence in the development of top-grossing social casino titles.

• Deploy machine learning models that support game features, player experience, and operational efficiency;
• Improve code quality by refining SQL and Python scripts for data transformation, feature engineering, modelling pipelines, and AI applications;
• Explore and contribute to early-stage projects involving LLMs, RAG systems, and agentic AI;
• Develop or refine Streamlit-based tools to present ML/AI capabilities to non-technical users;
• Build and implement model monitoring systems to ensure long-term performance and business alignment;
• Collaborate with product, data, and engineering teams to identify value-adding ML and AI opportunities;
• Communicate results, limitations, and recommendations to technical and business collaborators.

• 5+ Years of experience applying machine learning to real-world problems;
• Strong Python skills and hands-on experience with ML Python libraries;
• Solid SQL expertise and experience working with large data warehouses;
• Experience with cloud platforms (GCP, AWS, Azure), Docker, and Airflow;
• Ability to build simple user interfaces to expose ML models or AI applications;
• Hands-on experience building applications with Generative AI, including API integration;
• Interest or early experience in RAG systems;
• Degree in a relevant technical field or equivalent experience;
• Nice to have: Familiarity with agentic AI concepts or frameworks.

• No conditions specified